Detail publikace

Semantic Search in Documents Enriched by LOD-based Annotations

SMRŽ, P. KOUŘIL, J.

Originální název

Semantic Search in Documents Enriched by LOD-based Annotations

Anglický název

Semantic Search in Documents Enriched by LOD-based Annotations

Jazyk

en

Originální abstrakt

This paper deals with information retrieval on semantically enriched web-scale document collections. It particularly focuses on web-crawled content in which mentions of entities appearing in Freebase, DBpedia and other Linked Open Data resources have been identified. A special attention is paid to indexing structures and advanced query mechanisms that have been employed into a new semantic retrieval system. Scalability features are discussed together with performance statistics and results of experimental evaluation of presented approaches. Examples given to demonstrate key features of the developed solution correspond to the cultural heritage domain in which the results of our work have been primarily applied.

Anglický abstrakt

This paper deals with information retrieval on semantically enriched web-scale document collections. It particularly focuses on web-crawled content in which mentions of entities appearing in Freebase, DBpedia and other Linked Open Data resources have been identified. A special attention is paid to indexing structures and advanced query mechanisms that have been employed into a new semantic retrieval system. Scalability features are discussed together with performance statistics and results of experimental evaluation of presented approaches. Examples given to demonstrate key features of the developed solution correspond to the cultural heritage domain in which the results of our work have been primarily applied.

Dokumenty

BibTex


@inproceedings{BUT111563,
  author="Pavel {Smrž} and Jan {Kouřil}",
  title="Semantic Search in Documents Enriched by LOD-based Annotations",
  annote="This paper deals with information retrieval on semantically enriched web-scale
document collections. It particularly focuses on web-crawled content in which
mentions of entities appearing in Freebase, DBpedia and other Linked Open Data
resources have been identified. A special attention is paid to indexing
structures and advanced query mechanisms that have been employed into a new
semantic retrieval system. Scalability features are discussed together with
performance statistics and results of experimental evaluation of presented
approaches. Examples given to demonstrate key features of the developed solution
correspond to the cultural heritage domain in which the results of our work have
been primarily applied.",
  address="European Language Resources Association",
  booktitle="Proceedings of LREC 2014",
  chapter="111563",
  edition="NEUVEDEN",
  howpublished="electronic, physical medium",
  institution="European Language Resources Association",
  year="2014",
  month="april",
  pages="234--237",
  publisher="European Language Resources Association",
  type="conference paper"
}